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Yongquan He
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2020 – today
- 2024
- [c11]Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li:
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. ACL (Findings) 2024: 6719-6734 - [c10]Chen Gao, Xugong Qin, Peng Zhang, Yongquan He, Xinjian Huang, Ming Zhou
, Liehuang Zhu, Qingfeng Tan:
MHPS: Multimodality-Guided Hierarchical Policy Search for Knowledge Graph Reasoning. ICASSP 2024: 11096-11100 - [i9]Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang:
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. CoRR abs/2402.12074 (2024) - [i8]Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CoRR abs/2402.14033 (2024) - [i7]Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li:
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. CoRR abs/2402.16568 (2024) - [i6]Yongquan He, Xuancheng Huang, Minghao Tang, Lingxun Meng, Xiang Li, Wei Lin, Wenyuan Zhang, Yifu Gao:
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning. CoRR abs/2403.10056 (2024) - [i5]Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu:
Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. CoRR abs/2409.11726 (2024) - 2023
- [c9]Yifu Gao, Yongquan He, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li:
Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion. ACL (Findings) 2023: 417-430 - [c8]Zihan Wang
, Kai Zhao
, Yongquan He
, Zhumin Chen
, Pengjie Ren
, Maarten de Rijke
, Zhaochun Ren
:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM 2023: 2534-2543 - [c7]Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin:
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning. EMNLP (Findings) 2023: 5848-5858 - [c6]Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin:
A Boundary Offset Prediction Network for Named Entity Recognition. EMNLP (Findings) 2023: 14834-14846 - [i4]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR abs/2305.10531 (2023) - [i3]Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin:
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning. CoRR abs/2310.14596 (2023) - [i2]Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin:
A Boundary Offset Prediction Network for Named Entity Recognition. CoRR abs/2310.18349 (2023) - 2022
- [c5]Minghao Tang, Peng Zhang, Yongquan He, Yongxiu Xu, Chengpeng Chao, Hongbo Xu:
DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition. COLING 2022: 2147-2156 - [c4]Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan:
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. IJCAI 2022: 2341-2347 - [i1]Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan:
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. CoRR abs/2208.00850 (2022) - 2021
- [c3]Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang
, Chuang Zhang:
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. IJCAI 2021: 1915-1921 - 2020
- [c2]Yongquan He, Zihan Wang
, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CIKM 2020: 505-514 - [c1]Qi Liang, Dan Luo, Lu Ma, Peng Zhang, Meilin Zhou, Yongquan He, Bin Wang:
RolNE: Improving the Quality of Network Embedding with Structural Role Proximity. WISE (1) 2020: 16-28
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